Jaesung Huh

1.3k total citations · 1 hit paper
24 papers, 556 citations indexed

About

Jaesung Huh is a scholar working on Signal Processing, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Jaesung Huh has authored 24 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Signal Processing, 12 papers in Artificial Intelligence and 5 papers in Mechanical Engineering. Recurrent topics in Jaesung Huh's work include Speech and Audio Processing (12 papers), Music and Audio Processing (11 papers) and Speech Recognition and Synthesis (11 papers). Jaesung Huh is often cited by papers focused on Speech and Audio Processing (12 papers), Music and Audio Processing (11 papers) and Speech Recognition and Synthesis (11 papers). Jaesung Huh collaborates with scholars based in South Korea, United Kingdom and Czechia. Jaesung Huh's co-authors include Joon Son Chung, Andrew Zisserman, Seongkyu Mun, Soyeon Choe, Bong‐Jin Lee, Minjae Lee, Sunghwan Jung, Tengda Han, Max Bain and Arsha Nagrani and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Energies and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Jaesung Huh

20 papers receiving 533 citations

Hit Papers

In Defence of Metric Lear... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jaesung Huh South Korea 11 425 378 57 32 29 24 556
Christian Fügen United States 14 526 1.2× 183 0.5× 85 1.5× 17 0.5× 12 0.4× 36 651
Arindam Mandal United States 12 423 1.0× 276 0.7× 45 0.8× 27 0.8× 16 0.6× 41 546
Eugene Weinstein United States 12 389 0.9× 326 0.9× 86 1.5× 24 0.8× 5 0.2× 24 531
Hideki Kashioka Japan 15 546 1.3× 180 0.5× 64 1.1× 18 0.6× 9 0.3× 97 637
Daichi Mochihashi Japan 10 339 0.8× 160 0.4× 120 2.1× 24 0.8× 9 0.3× 46 479
Ulpu Remes Finland 11 167 0.4× 232 0.6× 52 0.9× 48 1.5× 4 0.1× 35 339
Dongsuk Yook South Korea 10 144 0.3× 221 0.6× 53 0.9× 34 1.1× 6 0.2× 31 298
Cong Han United States 11 161 0.4× 245 0.6× 57 1.0× 61 1.9× 16 0.6× 36 387
Yashesh Gaur United States 16 655 1.5× 442 1.2× 28 0.5× 21 0.7× 10 0.3× 48 719
Mike Lincoln United Kingdom 11 510 1.2× 497 1.3× 49 0.9× 110 3.4× 7 0.2× 20 732

Countries citing papers authored by Jaesung Huh

Since Specialization
Citations

This map shows the geographic impact of Jaesung Huh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jaesung Huh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaesung Huh more than expected).

Fields of papers citing papers by Jaesung Huh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jaesung Huh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jaesung Huh. The network helps show where Jaesung Huh may publish in the future.

Co-authorship network of co-authors of Jaesung Huh

This figure shows the co-authorship network connecting the top 25 collaborators of Jaesung Huh. A scholar is included among the top collaborators of Jaesung Huh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jaesung Huh. Jaesung Huh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Huh, Jaesung, et al.. (2025). EPIC-SOUNDS: A Large-Scale Dataset of Actions That Sound. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(11). 9953–9965.
2.
Huh, Jaesung, Joon Son Chung, Arsha Nagrani, et al.. (2024). The VoxCeleb Speaker Recognition Challenge: A Retrospective. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 3850–3866. 10 indexed citations
4.
Huh, Jaesung, et al.. (2024). TIM: A Time Interval Machine for Audio-Visual Action Recognition. 18153–18163. 3 indexed citations
5.
Huh, Jaesung, et al.. (2023). Epic-Sounds: A Large-Scale Dataset of Actions that Sound. 1–5. 17 indexed citations
6.
Bain, Max, Jaesung Huh, Tengda Han, & Andrew Zisserman. (2023). WhisperX: Time-Accurate Speech Transcription of Long-Form Audio. 4489–4493. 73 indexed citations
7.
Lee, Chloe H., Jaesung Huh, Mariana Pereira Pinho, et al.. (2023). A robust deep learning workflow to predict CD8 + T-cell epitopes. Genome Medicine. 15(1). 70–70. 13 indexed citations
8.
Huh, Jaesung, et al.. (2023). Disentangled Representation Learning for Multilingual Speaker Recognition. 5316–5320. 5 indexed citations
9.
Jung, Jee-weon, Hee-Soo Heo, Bong‐Jin Lee, et al.. (2023). In Search of Strong Embedding Extractors for Speaker Diarisation. 1–5. 4 indexed citations
10.
Huh, Jaesung, et al.. (2021). Playing a part: speaker verification at the movies. Oxford University Research Archive (ORA) (University of Oxford). 12 indexed citations
11.
Huh, Jaesung, et al.. (2021). Aerodynamic Performance Characteristics of MGT Compressors. The KSFM Journal of Fluid Machinery. 24(6). 47–55. 1 indexed citations
12.
Chung, Joon Son, Jaesung Huh, Arsha Nagrani, Triantafyllos Afouras, & Andrew Zisserman. (2020). Spot the Conversation: Speaker Diarisation in the Wild. arXiv (Cornell University). 299–303. 70 indexed citations
13.
Chung, Joon Son, Jaesung Huh, Seongkyu Mun, et al.. (2020). In Defence of Metric Learning for Speaker Recognition. arXiv (Cornell University). 2977–2981. 232 indexed citations breakdown →
14.
Chung, Joon Son, Jaesung Huh, & Seongkyu Mun. (2020). Delving into VoxCeleb: Environment Invariant Speaker Recognition. 26 indexed citations
15.
Choi, Hyeong-Seok, et al.. (2019). Phase-aware Speech Enhancement with Deep Complex U-Net. arXiv (Cornell University). 35 indexed citations
16.
Shin, Hyungki, et al.. (2018). Design, Flow Simulation, and Performance Test for a Partial-Admission Axial Turbine Under Supercritical CO2 Condition. Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. 12 indexed citations
17.
Shin, Hyungki, Junhyun Cho, Young-Jin Baik, et al.. (2017). Partial Admission, Axial Impulse Type Turbine Design and Partial Admission Radial Turbine Test for SCO2 Cycle. Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy. 14 indexed citations
18.
Huh, Jaesung, et al.. (2008). The Efficient Sensitivity Analysis on Statistical Moments and Probability Constraints in Robust Optimal Design. Transactions of the Korean Society of Mechanical Engineers A. 32(1). 29–34.
19.
Huh, Jaesung, et al.. (2007). Numerical Verification of the First Four Statistical Moments Estimated by a Function Approximation Moment Method. Transactions of the Korean Society of Mechanical Engineers A. 31(4). 490–495. 1 indexed citations
20.
Huh, Jaesung, et al.. (2006). A Study on the Robust Optimal Supporting Positions of TFT-LCD Glass Panel. Transactions of the Korean Society of Mechanical Engineers A. 30(8). 1001–1007. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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